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Paper Citation Record · LEDGER

Tamed Langevin sampling under weaker conditions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.17693.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.17693 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:38.870584Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T06:37:42.258172Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48be7698-9379-4fab-8c95-723d353db534 · inbound

What is the long-run distribution of stochastic gradient descent? A large deviations analysis cites this paper.

What is the long-run distribution of stochastic gradient descent? A large deviations analysis Tamed Langevin sampling under weaker conditions

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:23:39.546574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T00:23:03.475425Z digest=sha256:14104e61d15b3366d043825c7526ff5c5e8e5f90b02f4b633d5635fa7e8c68d1

Observation b990311f-4bef-456a-a917-5829fb844886 · inbound

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients cites this paper.

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients Tamed Langevin sampling under weaker conditions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:41:38.870584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:41:38.870584Z digest=sha256:6f53c89a511ad3f56d6dc91d52d84286ba8f9fee681a1ad35045a8a9cf6445f5

Observation e2b79e1c-1cac-4885-80d5-cb4cc597a197 · inbound

A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives cites this paper.

A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives Tamed Langevin sampling under weaker conditions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:11.966352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:11.966352Z digest=sha256:7696880a7599859d480a87a269d4d851b347d5a1e33b3e66f7bd1e26f61bff5a

Observation bdc7be92-e792-4f1b-97cf-09dc91dd5d29 · inbound

When Langevin Monte Carlo Meets Randomization: New Sampling Algorithms with Non-asymptotic Error Bounds beyond Log-Concavity and Gradient Lipschitzness cites this paper.

When Langevin Monte Carlo Meets Randomization: New Sampling Algorithms with Non-asymptotic Error Bounds beyond Log-Concavity and Gradient Lipschitzness Tamed Langevin sampling under weaker conditions

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T13:06:23.631129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:05:20.638026Z digest=sha256:6d11eebeb536fe4ae2fa105ad3c6edbc84f10bbe1714dbc93d268cf83cc75a0d

Observation 2a836179-00d0-4b32-b1b1-a5b750e6c180 · inbound

Error estimates for tamed Euler and Randomized Euler schemes for SDEs with locally Lipschitz drift with applications to non-logconcave sampling and optimization cites this paper.

Error estimates for tamed Euler and Randomized Euler schemes for SDEs with locally Lipschitz drift with applications to non-logconcave sampling and optimization Tamed Langevin sampling under weaker conditions

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T00:04:06.688792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T23:54:31.232162Z digest=sha256:a259a7308bea9af4189471c349e9bbc77bf21ddca860d0012b61a07026e1a7c7

Observation 22d7169e-6d2a-4500-962f-76b7ce2e1ad7 · inbound

Deterministic Denominator Design for Localized Tamed Stochastic Gradient Langevin Dynamics cites this paper.

Deterministic Denominator Design for Localized Tamed Stochastic Gradient Langevin Dynamics Tamed Langevin sampling under weaker conditions

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:37:42.260076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T12:38:21.874407Z digest=sha256:367744a2d201217fbc665ad931346b846937721ec00622c3d69520cfa7eb3725

Observation 8819cec0-6ff2-4dd8-a1c3-b68b2349ca7a · inbound

Deterministic Denominator Design for Localized Tamed Stochastic Gradient Langevin Dynamics cites this paper.

Deterministic Denominator Design for Localized Tamed Stochastic Gradient Langevin Dynamics Tamed Langevin sampling under weaker conditions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T14:26:38.326357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T14:26:38.326357Z digest=sha256:734f8c83427c6279b27d14466ccce4a1eccf7fde5e8dd698e878351099e7155b